Zian Li is a PhD student at Peking University, focusing on geometric deep learning and generative models. His research focuses on the expressiveness of geometric models, pretraining techniques for molecular models, and the diverse applications of generative models. He is deeply passionate about advancing generative methods to enhance the understanding and modeling of complex data.